{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Transfer Learning Tutorial\n",
    "\n",
    "In practice, very few people train an entire Convolutional Network from scratch (with random initialization), because it is relatively rare to have a dataset of sufficient size. Instead, it is common to pretrain a ConvNet on a very large dataset (e.g. ImageNet, which contains 1.2 million images with 1000 categories), and then use the ConvNet either as an initialization or a fixed feature extractor for the task of interest.\n",
    "\n",
    "These 2 major transfer learning scenarios looks as follows:\n",
    "\n",
    "- **Finetuning the convnet**: Instead of random initialization, we initialize the network with a pretrained network. Rest of the training looks as usual.\n",
    "\n",
    "- **ConvNet as fixed feature extractor**: We will freeze the weights of the network except the final fully connected layer, then this layer is replaced with a new one with random weights and only this layer is trained."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from __future__ import print_function, division\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import time\n",
    "import os\n",
    "import copy\n",
    "import torch\n",
    "import torch.nn as nn\n",
    "import torch.optim as optim\n",
    "from torch.optim import lr_scheduler\n",
    "import torchvision\n",
    "from torchvision import datasets, models, transforms\n",
    "\n",
    "plt.ion()   # interactive mode"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Load Data\n",
    "\n",
    "Problem: Train a model to classify ants and bees. We have about **120** training images each for ants and bees, and **75** validation images for each class. Usually, this is a very small dataset to generalize upon, if trained from scratch.\n",
    "\n",
    "> 刘尧：训练集120+验证集75，同时两者使用的Transformation不同：**训练集-Data Augmentation and Normalization，验证集-Just Normalization**！\n",
    "\n",
    "> 刘尧：注意**torchvision.datasets.ImageFolder**(主要进行文件读取和transform)和**torch.utils.data.DataLoader**(主要进行batch,shuffle和并行化设置)的组合使用！"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_transforms = {\n",
    "    'train': transforms.Compose([\n",
    "        transforms.RandomResizedCrop(224),\n",
    "        transforms.RandomHorizontalFlip(),\n",
    "        transforms.ToTensor(),\n",
    "        transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225])\n",
    "    ]),\n",
    "    'val': transforms.Compose([\n",
    "        transforms.Resize(256),\n",
    "        transforms.CenterCrop(224),\n",
    "        transforms.ToTensor(),\n",
    "        transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225])\n",
    "    ])\n",
    "}\n",
    "data_dir = './data/hymenoptera_data/'\n",
    "image_datasets = {x: datasets.ImageFolder(os.path.join(data_dir, x), data_transforms[x]) for x in ['train', 'val']}\n",
    "dataloaders = {x: torch.utils.data.DataLoader(image_datasets[x], batch_size=4, shuffle=True, num_workers=4) for x in ['train', 'val']}\n",
    "dataset_sizes = {x: len(image_datasets[x]) for x in ['train', 'val']}\n",
    "class_names = image_datasets['train'].classes\n",
    "device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Visualize a few images"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "mean = np.array([0.485, 0.456, 0.406])\n",
    "std = np.array([0.229, 0.224, 0.225])\n",
    "def imshow(inp, title=None):\n",
    "    inp = inp.numpy().transpose((1, 2, 0))\n",
    "    inp = np.clip(std * inp + mean, 0, 1)\n",
    "    plt.imshow(inp)\n",
    "    if title is not None:\n",
    "        plt.title(title)\n",
    "    plt.pause(0.001)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "inputs, classes = next(iter(dataloaders['train']))    # Get a batch of training data\n",
    "out = torchvision.utils.make_grid(inputs)             # Make a grid from batch\n",
    "imshow(out, title=[class_names[x] for x in classes])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 2. Training the model\n",
    "\n",
    "Let's write a general function to train a model. Here, we will illustrate:\n",
    "\n",
    "- Scheduling the learning rate\n",
    "\n",
    "- Saving the best model\n",
    "\n",
    "> 刘尧：每一个训练epoch里都分别有train和val两个phase！手动指定不同phase不同的处理操作\n",
    "        \n",
    "   |  |  | train与val流程上的异同 |  |  |  |\n",
    "  :-: | :-: | :-: | :-: | :-: | :-:\n",
    "  train | scheduler.step() -> | model.train() -> | set_grad_enabled(True) -> | loss.backward() -> | optimizer.step()\n",
    "  val |  | model.eval() -> | set_grad_enabled(False) -> |  |  | copy model.state_dict()\n",
    "\n",
    "> 刘尧：model.state_dict中记录着model的parameters和persistent buffers，使用copy.deepcopy来复制(而非引用)，随后可由model.load_state_dict加载进model\n",
    "\n",
    "> 刘尧：按val_acc来决定哪个是best model ！？！"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "def train_model(model, criterion, optimizer, scheduler, num_epochs=25):\n",
    "    since = time.time()\n",
    "    best_model_wts = copy.deepcopy(model.state_dict())\n",
    "    best_acc = 0.0\n",
    "    \n",
    "    for epoch in range(num_epochs):\n",
    "        print(f'Epoch {epoch}/{num_epochs - 1}')\n",
    "        print('-' * 10)\n",
    "        \n",
    "        # Each epoch has a training and validation phase \n",
    "        for phase in ['train', 'val']:\n",
    "            if phase == 'train':\n",
    "                scheduler.step()\n",
    "                model.train()\n",
    "            else:\n",
    "                model.eval()\n",
    "            \n",
    "            running_loss = 0.0\n",
    "            running_corrects = 0\n",
    "            \n",
    "            # Iterate over data, batch by batch\n",
    "            for inputs, labels in dataloaders[phase]:\n",
    "                inputs, labels = inputs.to(device), labels.to(device)\n",
    "                optimizer.zero_grad()\n",
    "                \n",
    "                with torch.set_grad_enabled(phase == 'train'):  # track history only if in train phase\n",
    "                    # forward pass\n",
    "                    outputs = model(inputs)\n",
    "                    _, preds = torch.max(outputs, 1)\n",
    "                    loss = criterion(outputs, labels)\n",
    "                    \n",
    "                    # backward + optimize only if train phase\n",
    "                    if phase == 'train':\n",
    "                        loss.backward()\n",
    "                        optimizer.step()\n",
    "                        \n",
    "                # Statistics\n",
    "                running_loss += loss.item() * inputs.size(0)\n",
    "                running_corrects += torch.sum(preds == labels.data)\n",
    "            \n",
    "            epoch_loss = running_loss / dataset_sizes[phase]\n",
    "            epoch_acc = running_corrects.double() / dataset_sizes[phase]\n",
    "            print(f'Phase: {phase}  Loss: {epoch_loss: .4f}  Acc: {epoch_acc: .4f}')\n",
    "            \n",
    "            # deep copy the best model\n",
    "            if phase == 'val' and epoch_acc > best_acc:             # 按val_acc来决定哪个是best model！\n",
    "                best_acc = epoch_acc\n",
    "                best_model_wts = copy.deepcopy(model.state_dict())  # state_dict: Both parameters and persistent buffers\n",
    "                \n",
    "    time_elapsed = time.time() - since\n",
    "    print(f'Training complete in {time_elapsed // 60: .0f}m {time_elapsed % 60: .0f}s')\n",
    "    print(f'Best val Acc: {best_acc: 4f}')\n",
    "    \n",
    "    # load best model weights\n",
    "    model.load_state_dict(best_model_wts)\n",
    "    return model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Visualizing the model predictions\n",
    "\n",
    "Generic function to display predictions for a few images"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "def visualize_model(model, num_images=6):\n",
    "    was_training = model.training  # ?\n",
    "    model.eval()                   # set model to evaluate mode\n",
    "    images_so_far = 0\n",
    "    fig = plt.figure()\n",
    "    \n",
    "    with torch.no_grad():\n",
    "        for i, (inputs, labels) in enumerate(dataloaders['val']):\n",
    "            inputs, labels = inputs.to(device), labels.to(device)\n",
    "            outputs = model(inputs)\n",
    "            _, preds = torch.max(outputs, 1)\n",
    "            \n",
    "            for j in range(inputs.size()[0]):\n",
    "                images_so_far += 1\n",
    "                ax = plt.subplot(num_images // 2, 2, images_so_far)\n",
    "                ax.axis('off')\n",
    "                ax.set_title(f'predicted: {class_names[preds[j]]}')\n",
    "                imshow(inputs.cpu().data[j])   # Tensor.cpu(): A copy of this Tensor in CPU memory\n",
    "                \n",
    "                if images_so_far == num_images:\n",
    "                    model.train(mode=was_training)\n",
    "                    return\n",
    "                \n",
    "        model.train(mode=was_training)  # 恢复到原来的mode"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 3. Finetuning the convnet\n",
    "\n",
    "> 刘尧：获得base model后，默认requires_grad=True，训练时会被训练，即Finetuning；若设置为False，则不会被训练，即fixed feature extractor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Downloading: \"https://download.pytorch.org/models/resnet18-5c106cde.pth\" to /Users/liuyao8/.torch/models/resnet18-5c106cde.pth\n",
      "46827520it [26:27, 29503.24it/s]\n"
     ]
    }
   ],
   "source": [
    "# 获得base model，并把其fc层(最后1层)替换为新定义的nn.Linear(随机初始化)\n",
    "model_ft = models.resnet18(pretrained=True)\n",
    "num_ftrs = model_ft.fc.in_features    # model_ft.fc.in_features: model_ft的fc层的输入Tensor的features个数，可直接这样使用Module/Layer的参数！\n",
    "model_ft.fc = nn.Linear(num_ftrs, 2)  # 直接赋值给model_ft.fc即可！\n",
    "model_ft = model_ft.to(device)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "criterion = nn.CrossEntropyLoss()\n",
    "optimizer_ft = optim.SGD(model_ft.parameters(), lr=0.001, momentum=0.9)       # Note that all parameters are being optimized\n",
    "exp_lr_scheduler = lr_scheduler.StepLR(optimizer_ft, step_size=7, gamma=0.1)  # Decay LR by a factor of 0.1 every 7 epochs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Train and evaluate\n",
    "\n",
    "It should take around 15-25 min on CPU. On GPU though, it takes less than a minute."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 0/24\n",
      "----------\n",
      "Phase: train  Loss:  0.8485  Acc:  0.5902\n",
      "Phase: val  Loss:  0.2173  Acc:  0.9150\n",
      "Epoch 1/24\n",
      "----------\n",
      "Phase: train  Loss:  0.5827  Acc:  0.8074\n",
      "Phase: val  Loss:  0.1944  Acc:  0.9281\n",
      "Epoch 2/24\n",
      "----------\n",
      "Phase: train  Loss:  0.5076  Acc:  0.7787\n",
      "Phase: val  Loss:  0.2378  Acc:  0.9085\n",
      "Epoch 3/24\n",
      "----------\n",
      "Phase: train  Loss:  0.4462  Acc:  0.8033\n",
      "Phase: val  Loss:  0.4070  Acc:  0.8693\n",
      "Epoch 4/24\n",
      "----------\n",
      "Phase: train  Loss:  0.5169  Acc:  0.8238\n",
      "Phase: val  Loss:  0.2771  Acc:  0.9216\n",
      "Epoch 5/24\n",
      "----------\n",
      "Phase: train  Loss:  0.4829  Acc:  0.7910\n",
      "Phase: val  Loss:  0.4202  Acc:  0.8431\n",
      "Epoch 6/24\n",
      "----------\n",
      "Phase: train  Loss:  0.3422  Acc:  0.8648\n",
      "Phase: val  Loss:  0.2728  Acc:  0.9281\n",
      "Epoch 7/24\n",
      "----------\n",
      "Phase: train  Loss:  0.4525  Acc:  0.8156\n",
      "Phase: val  Loss:  0.2477  Acc:  0.9020\n",
      "Epoch 8/24\n",
      "----------\n",
      "Phase: train  Loss:  0.2709  Acc:  0.8893\n",
      "Phase: val  Loss:  0.2545  Acc:  0.9216\n",
      "Epoch 9/24\n",
      "----------\n",
      "Phase: train  Loss:  0.3156  Acc:  0.8730\n",
      "Phase: val  Loss:  0.2210  Acc:  0.9281\n",
      "Epoch 10/24\n",
      "----------\n",
      "Phase: train  Loss:  0.3263  Acc:  0.8648\n",
      "Phase: val  Loss:  0.2206  Acc:  0.9281\n",
      "Epoch 11/24\n",
      "----------\n",
      "Phase: train  Loss:  0.2651  Acc:  0.9057\n",
      "Phase: val  Loss:  0.2139  Acc:  0.9412\n",
      "Epoch 12/24\n",
      "----------\n",
      "Phase: train  Loss:  0.3218  Acc:  0.8730\n",
      "Phase: val  Loss:  0.2269  Acc:  0.9281\n",
      "Epoch 13/24\n",
      "----------\n",
      "Phase: train  Loss:  0.2828  Acc:  0.8852\n",
      "Phase: val  Loss:  0.2573  Acc:  0.9150\n",
      "Epoch 14/24\n",
      "----------\n",
      "Phase: train  Loss:  0.2801  Acc:  0.8730\n",
      "Phase: val  Loss:  0.1992  Acc:  0.9412\n",
      "Epoch 15/24\n",
      "----------\n",
      "Phase: train  Loss:  0.2793  Acc:  0.8811\n",
      "Phase: val  Loss:  0.2201  Acc:  0.9346\n",
      "Epoch 16/24\n",
      "----------\n",
      "Phase: train  Loss:  0.3732  Acc:  0.8402\n",
      "Phase: val  Loss:  0.2061  Acc:  0.9477\n",
      "Epoch 17/24\n",
      "----------\n",
      "Phase: train  Loss:  0.3404  Acc:  0.8566\n",
      "Phase: val  Loss:  0.2225  Acc:  0.9085\n",
      "Epoch 18/24\n",
      "----------\n",
      "Phase: train  Loss:  0.3161  Acc:  0.8852\n",
      "Phase: val  Loss:  0.1978  Acc:  0.9346\n",
      "Epoch 19/24\n",
      "----------\n",
      "Phase: train  Loss:  0.2947  Acc:  0.8689\n",
      "Phase: val  Loss:  0.1942  Acc:  0.9412\n",
      "Epoch 20/24\n",
      "----------\n",
      "Phase: train  Loss:  0.2434  Acc:  0.9016\n",
      "Phase: val  Loss:  0.2146  Acc:  0.9346\n",
      "Epoch 21/24\n",
      "----------\n",
      "Phase: train  Loss:  0.2936  Acc:  0.8852\n",
      "Phase: val  Loss:  0.2020  Acc:  0.9477\n",
      "Epoch 22/24\n",
      "----------\n",
      "Phase: train  Loss:  0.2359  Acc:  0.8893\n",
      "Phase: val  Loss:  0.2055  Acc:  0.9412\n",
      "Epoch 23/24\n",
      "----------\n",
      "Phase: train  Loss:  0.2657  Acc:  0.8934\n",
      "Phase: val  Loss:  0.2037  Acc:  0.9412\n",
      "Epoch 24/24\n",
      "----------\n",
      "Phase: train  Loss:  0.2675  Acc:  0.8893\n",
      "Phase: val  Loss:  0.1932  Acc:  0.9412\n",
      "Training complete in  26m  32s\n",
      "Best val Acc:  0.947712\n"
     ]
    }
   ],
   "source": [
    "model_ft = train_model(model_ft, criterion, optimizer_ft, exp_lr_scheduler, num_epochs=25)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "visualize_model(model_ft)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 4. ConvNet as fixed feature extractor\n",
    "\n",
    "Here, we need to freeze all the network except the final layer. After setting ***requires_grad=False*** to freeze the parameters, their gradients won't be computed in ***backward()***."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "model_conv = models.resnet18(pretrained=True)\n",
    "for param in model_conv.parameters():\n",
    "    param.requires_grad = False         # 与3.Finetuning the convnet唯一不同之处\n",
    "num_ftrs = model_conv.fc.in_features\n",
    "model_conv.fc = nn.Linear(num_ftrs, 2)  # 默认requires_grad=True \n",
    "model_conv = model_conv.to(device)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "criterion = nn.CrossEntropyLoss()\n",
    "optimizer_conv = optim.SGD(model_conv.fc.parameters(), lr=0.001, momentum=0.9)  # Note that only parameters of final layer are being optimized\n",
    "exp_lr_scheduler = lr_scheduler.StepLR(optimizer_conv, step_size=7, gamma=0.1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Train and evaluate\n",
    "\n",
    "On CPU this will take about half the time compared to previous scenario. This is expected as gradients don't need to be computed for most of the network. However, forward does need to be computed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 0/24\n",
      "----------\n",
      "Phase: train  Loss:  0.7418  Acc:  0.6311\n",
      "Phase: val  Loss:  0.2860  Acc:  0.9020\n",
      "Epoch 1/24\n",
      "----------\n",
      "Phase: train  Loss:  0.4550  Acc:  0.8197\n",
      "Phase: val  Loss:  0.1796  Acc:  0.9542\n",
      "Epoch 2/24\n",
      "----------\n",
      "Phase: train  Loss:  0.4917  Acc:  0.7869\n",
      "Phase: val  Loss:  0.1751  Acc:  0.9477\n",
      "Epoch 3/24\n",
      "----------\n",
      "Phase: train  Loss:  0.4155  Acc:  0.8033\n",
      "Phase: val  Loss:  0.2170  Acc:  0.9542\n",
      "Epoch 4/24\n",
      "----------\n",
      "Phase: train  Loss:  0.5718  Acc:  0.7131\n",
      "Phase: val  Loss:  0.3401  Acc:  0.8627\n",
      "Epoch 5/24\n",
      "----------\n",
      "Phase: train  Loss:  0.5773  Acc:  0.7664\n",
      "Phase: val  Loss:  0.1711  Acc:  0.9477\n",
      "Epoch 6/24\n",
      "----------\n",
      "Phase: train  Loss:  0.6488  Acc:  0.7664\n",
      "Phase: val  Loss:  0.2199  Acc:  0.9281\n",
      "Epoch 7/24\n",
      "----------\n",
      "Phase: train  Loss:  0.3702  Acc:  0.8320\n",
      "Phase: val  Loss:  0.1718  Acc:  0.9477\n",
      "Epoch 8/24\n",
      "----------\n",
      "Phase: train  Loss:  0.3917  Acc:  0.8402\n",
      "Phase: val  Loss:  0.1636  Acc:  0.9477\n",
      "Epoch 9/24\n",
      "----------\n",
      "Phase: train  Loss:  0.3612  Acc:  0.8361\n",
      "Phase: val  Loss:  0.1604  Acc:  0.9412\n",
      "Epoch 10/24\n",
      "----------\n",
      "Phase: train  Loss:  0.4323  Acc:  0.8238\n",
      "Phase: val  Loss:  0.1607  Acc:  0.9477\n",
      "Epoch 11/24\n",
      "----------\n",
      "Phase: train  Loss:  0.3722  Acc:  0.8525\n",
      "Phase: val  Loss:  0.1545  Acc:  0.9477\n",
      "Epoch 12/24\n",
      "----------\n",
      "Phase: train  Loss:  0.3201  Acc:  0.8484\n",
      "Phase: val  Loss:  0.1726  Acc:  0.9477\n",
      "Epoch 13/24\n",
      "----------\n",
      "Phase: train  Loss:  0.3372  Acc:  0.8279\n",
      "Phase: val  Loss:  0.1710  Acc:  0.9412\n",
      "Epoch 14/24\n",
      "----------\n",
      "Phase: train  Loss:  0.3320  Acc:  0.8648\n",
      "Phase: val  Loss:  0.1635  Acc:  0.9542\n",
      "Epoch 15/24\n",
      "----------\n",
      "Phase: train  Loss:  0.3737  Acc:  0.8361\n",
      "Phase: val  Loss:  0.2374  Acc:  0.9281\n",
      "Epoch 16/24\n",
      "----------\n",
      "Phase: train  Loss:  0.3480  Acc:  0.8525\n",
      "Phase: val  Loss:  0.1725  Acc:  0.9412\n",
      "Epoch 17/24\n",
      "----------\n",
      "Phase: train  Loss:  0.3149  Acc:  0.8566\n",
      "Phase: val  Loss:  0.2147  Acc:  0.9216\n",
      "Epoch 18/24\n",
      "----------\n",
      "Phase: train  Loss:  0.3441  Acc:  0.8566\n",
      "Phase: val  Loss:  0.1688  Acc:  0.9477\n",
      "Epoch 19/24\n",
      "----------\n",
      "Phase: train  Loss:  0.3189  Acc:  0.8648\n",
      "Phase: val  Loss:  0.1819  Acc:  0.9477\n",
      "Epoch 20/24\n",
      "----------\n",
      "Phase: train  Loss:  0.3480  Acc:  0.8566\n",
      "Phase: val  Loss:  0.1587  Acc:  0.9477\n",
      "Epoch 21/24\n",
      "----------\n",
      "Phase: train  Loss:  0.3578  Acc:  0.8484\n",
      "Phase: val  Loss:  0.1556  Acc:  0.9477\n",
      "Epoch 22/24\n",
      "----------\n",
      "Phase: train  Loss:  0.3602  Acc:  0.8443\n",
      "Phase: val  Loss:  0.1763  Acc:  0.9412\n",
      "Epoch 23/24\n",
      "----------\n",
      "Phase: train  Loss:  0.2853  Acc:  0.8730\n",
      "Phase: val  Loss:  0.1683  Acc:  0.9608\n",
      "Epoch 24/24\n",
      "----------\n",
      "Phase: train  Loss:  0.2998  Acc:  0.8811\n",
      "Phase: val  Loss:  0.1669  Acc:  0.9477\n",
      "Training complete in  12m  11s\n",
      "Best val Acc:  0.960784\n"
     ]
    }
   ],
   "source": [
    "model_conv = train_model(model_conv, criterion, optimizer_conv, exp_lr_scheduler, num_epochs=25)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "visualize_model(model_conv)\n",
    "plt.ioff()\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
